Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Cari Whyne"'
Autor:
Aazad Abbas, Imran Saleh, Graeme Hoit, Gurjovan Sahi, Sam Park, Jihad Abouali, Cari Whyne, Jay Toor
Publikováno v:
Laparoscopic, Endoscopic and Robotic Surgery, Vol 6, Iss 3, Pp 97-102 (2023)
Objective: Smart insufflation (SI) techniques relying on valve and membrane-free insufflation are increasing in usage. Although considerable literature exists demonstrating the benefits of SI on procedural ease and patient outcomes, there remains a p
Externí odkaz:
https://doaj.org/article/0072e6127b974a4a964f3d026b802da3
Publikováno v:
Bone & Joint Research, Vol 12, Iss 3, Pp 165-177 (2023)
Aims: An objective technological solution for tracking adherence to at-home shoulder physiotherapy is important for improving patient engagement and rehabilitation outcomes, but remains a significant challenge. The aim of this research was to evaluat
Externí odkaz:
https://doaj.org/article/06db1c4dd8c649859abb48ede6b715a9
Autor:
Jimmy Tat, MD, MSc, David Bodansky, BMedSc(hons), MBChB, FRCS, Ujash Sheth, MD, MSc, FRCSC, Yee Ung, MD, FRCPC, Cari Whyne, PhD, Diane Nam, MSc, MD, FRCSC
Publikováno v:
JBJS Open Access, Vol 8, Iss 2 (2023)
Background:. The humerus is the second most common site of metastatic disease involving long bones, yet it is still unclear which patients are at high risk for a fracture and may require prophylactic surgical fixation. The goal of this study was to a
Externí odkaz:
https://doaj.org/article/2914268712db45c59f3c4cd7ba0a5196
Autor:
Bahar Entezari, BMSc, Robert Koucheki, HBSc, Aazad Abbas, HBSc, Jay Toor, MD, MBA, Jesse I. Wolfstadt, MD, MSc, FRCSC, Bheeshma Ravi, MD, PhD, FRCSC, Cari Whyne, PhD, FIOR, Johnathan R. Lex, MB, ChB
Publikováno v:
Arthroplasty Today, Vol 20, Iss , Pp 101116- (2023)
Background: There is a growing demand for total joint arthroplasty (TJA) surgery. The applications of machine learning (ML), mathematical optimization, and computer simulation have the potential to improve efficiency of TJA care delivery through outc
Externí odkaz:
https://doaj.org/article/7d3f450ece8c4c26914308cca27b1671
Publikováno v:
PLoS ONE, Vol 18, Iss 8 (2023)
Objective Fractures remain a huge burden and their management adversely affects individuals’ function and productivity during the lengthy healing period. Gut microbiota exerts a systemic influence on diverse aspects of host physiology, including bo
Externí odkaz:
https://doaj.org/article/2edef7a31b1547cd8bb6cfb061906259
Autor:
Abdalrahman Alfakir, Colin Arrowsmith, David Burns, Helen Razmjou, Michael Hardisty, Cari Whyne
Publikováno v:
JMIR Rehabilitation and Assistive Technologies, Vol 9, Iss 3, p e38689 (2022)
BackgroundPhysiotherapy is a critical element in the successful conservative management of low back pain (LBP). A gold standard for quantitatively measuring physiotherapy participation is crucial to understanding physiotherapy adherence in managing r
Externí odkaz:
https://doaj.org/article/2a1031f41525430f969fed04647b22ab
Autor:
Kathak Vachhani, Aaron Prodeus, Sayaka Nakamura, Jason S. Rockel, Adam Hopfgartner, Mohit Kapoor, Jean Gariépy, Cari Whyne, Diane Nam
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
Post-traumatic knee osteoarthritis is characterized by cartilage degeneration, subchondral bone remodeling, osteophyte formation, and synovial changes. Therapeutic targeting of inflammatory activity in the knee immediately post injury may alter the c
Externí odkaz:
https://doaj.org/article/2e0a23a11bb24853bb4c793b77886d03
Publikováno v:
Sensors, Vol 23, Iss 1, p 363 (2022)
Access to healthcare, including physiotherapy, is increasingly occurring through virtual formats. At-home adherence to physical therapy programs is often poor and few tools exist to objectively measure participation. The aim of this study was to deve
Externí odkaz:
https://doaj.org/article/52bea4bccb0647679677a759c6d8b49e
Publikováno v:
Sensors, Vol 22, Iss 19, p 7328 (2022)
This paper introduces a new dataset of a surgical knot-tying task, and a multi-modal deep learning model that achieves comparable performance to expert human raters on this skill assessment task. Seventy-two surgical trainees and faculty were recruit
Externí odkaz:
https://doaj.org/article/d333660c4deb47c88faabca68484dd6c
Publikováno v:
Sensors, Vol 22, Iss 14, p 5222 (2022)
A significant challenge for a supervised learning approach to inertial human activity recognition is the heterogeneity of data generated by individual users, resulting in very poor performance for some subjects. We present an approach to personalized
Externí odkaz:
https://doaj.org/article/e8e7cf6fbac54cb985007b7c61f5e9ce